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Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN
Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method ‘greenCUT&RUN’ for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whils...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136828/ https://www.ncbi.nlm.nih.gov/pubmed/33524153 http://dx.doi.org/10.1093/nar/gkab038 |
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author | Nizamuddin, Sheikh Koidl, Stefanie Bhuiyan, Tanja Werner, Tamara V Biniossek, Martin L Bonvin, Alexandre M J J Lassmann, Silke Timmers, HThMarc |
author_facet | Nizamuddin, Sheikh Koidl, Stefanie Bhuiyan, Tanja Werner, Tamara V Biniossek, Martin L Bonvin, Alexandre M J J Lassmann, Silke Timmers, HThMarc |
author_sort | Nizamuddin, Sheikh |
collection | PubMed |
description | Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method ‘greenCUT&RUN’ for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whilst assuring specificity. Our strategy begins with tagging of the protein of interest with GFP and utilizes a GFP-specific nanobody fused to MNase to profile genome-wide binding events. By using a GFP-nanobody the greenCUT&RUN approach eliminates antibody dependency and variability. Robust genomic profiles were obtained with greenCUT&RUN, which are accurate and unbiased towards open chromatin. By integrating greenCUT&RUN with nanobody-based affinity purification mass spectrometry, ‘piggy-back’ DNA binding events can be identified on a genomic scale. The unique design of greenCUT&RUN grants target protein flexibility and yields high resolution footprints. In addition, greenCUT&RUN allows rapid profiling of mutants of chromatin and transcription proteins. In conclusion, greenCUT&RUN is a widely applicable and versatile genome-mapping technique. |
format | Online Article Text |
id | pubmed-8136828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81368282021-05-25 Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN Nizamuddin, Sheikh Koidl, Stefanie Bhuiyan, Tanja Werner, Tamara V Biniossek, Martin L Bonvin, Alexandre M J J Lassmann, Silke Timmers, HThMarc Nucleic Acids Res Methods Online Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method ‘greenCUT&RUN’ for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whilst assuring specificity. Our strategy begins with tagging of the protein of interest with GFP and utilizes a GFP-specific nanobody fused to MNase to profile genome-wide binding events. By using a GFP-nanobody the greenCUT&RUN approach eliminates antibody dependency and variability. Robust genomic profiles were obtained with greenCUT&RUN, which are accurate and unbiased towards open chromatin. By integrating greenCUT&RUN with nanobody-based affinity purification mass spectrometry, ‘piggy-back’ DNA binding events can be identified on a genomic scale. The unique design of greenCUT&RUN grants target protein flexibility and yields high resolution footprints. In addition, greenCUT&RUN allows rapid profiling of mutants of chromatin and transcription proteins. In conclusion, greenCUT&RUN is a widely applicable and versatile genome-mapping technique. Oxford University Press 2021-02-01 /pmc/articles/PMC8136828/ /pubmed/33524153 http://dx.doi.org/10.1093/nar/gkab038 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Methods Online Nizamuddin, Sheikh Koidl, Stefanie Bhuiyan, Tanja Werner, Tamara V Biniossek, Martin L Bonvin, Alexandre M J J Lassmann, Silke Timmers, HThMarc Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title | Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title_full | Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title_fullStr | Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title_full_unstemmed | Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title_short | Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN |
title_sort | integrating quantitative proteomics with accurate genome profiling of transcription factors by greencut&run |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136828/ https://www.ncbi.nlm.nih.gov/pubmed/33524153 http://dx.doi.org/10.1093/nar/gkab038 |
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